Senior Software Engineer, Cloud Reliability

The role

You will own the reliability of Zilliz Cloud, a cloud data platform for AI. You will work on production incidents, distributed systems, Kubernetes and multi-cloud infrastructure, and build the tools and automation that prevent repeat failures.

What you will do

• Own the availability, stability and operational health of Zilliz Cloud.
• Take part in on-call rotations and respond to critical incidents.
• Diagnose production issues across Kubernetes, cloud, networking, storage and distributed databases.
• Lead or contribute to root cause analysis and turn recurring failures into engineering fixes.
• Build automation and diagnostic tools for log analysis, alerting and remediation.
• Improve monitoring, logging, tracing and alerting across Zilliz Cloud.
• Identify bottlenecks and capacity risks as customers and workloads grow.
• Improve deployment safety, rollback and recovery with Cloud Platform and database engineers.
• Write and maintain runbooks and operational documentation.
• Share production learnings across engineering teams.

Required qualifications

• 3+ years building or operating production cloud infrastructure, distributed systems, database platforms or large-scale online services.
• Strong software engineering skills in Go, Python or similar languages.
• Hands-on experience with Kubernetes, Docker, and at least one major cloud platform (AWS, GCP or Azure).
• Solid understanding of distributed systems, including availability, scalability, fault tolerance and failure recovery.
• Strong troubleshooting skills across Linux, networking, storage and cloud infrastructure.
• Experience supporting production services and participating in incident response.
• Familiarity with Terraform, Helm, Argo CD, Prometheus, Grafana and CI/CD systems.
• Strong analytical and problem-solving skills.
• Ability to work independently, communicate clearly during incidents and collaborate across teams and time zones.
• Bachelor's degree in Computer Science, Software Engineering or a related field, or equivalent practical experience.

Nice to have

• Experience with distributed databases, storage engines, search systems or data-intensive infrastructure.
• Experience operating large-scale, highly multi-tenant environments.
• Experience with multi-cloud environments, SLOs, capacity planning or reliability engineering at scale.

Benefits

• Medical, dental and vision insurance for employees and eligible family members.
• Unlimited PTO.
• Competitive cash compensation and long-term incentives, including stock options.
• 401(k) with company match.

Before you apply

• Zilliz is an Equal Opportunity Employer.

About the company

Zilliz builds data infrastructure for AI, including Milvus, an open-source vector database founded in 2017 by its creators. The company has $113 million in funding and says its technology is used by more than 10,000 enterprise users.